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2020 – today
- 2022
[j11]Francisco de A. T. de Carvalho
, Antonio Irpino, Rosanna Verde, Antonio Balzanella:
Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components. J. Classif. 39(2): 343-375 (2022)- [c10]Andrea Ponti, Antonio Irpino, Antonio Candelieri, Anna Bosio, Ilaria Giordani, Francesco Archetti:
Network Vulnerability Analysis in Wasserstein Spaces. LION 2022: 263-277 - 2021
- [j10]Francisco de A. T. de Carvalho, Antonio Balzanella, Antonio Irpino, Rosanna Verde:
Co-clustering algorithms for distributional data with automated variable weighting. Inf. Sci. 549: 87-115 (2021) - [c9]Maria Maddalena Barbieri, Francesca Bassi, Antonio Irpino, Rosanna Verde:
The Rating of Journals and the Research Outcomes in Statistical Sciences in Italian Universities. SIS 2021: 487-511 - [i2]Guénaël Cabanes, Younès Bennani, Rosanna Verde, Antonio Irpino:
On the use of Wasserstein metric in topological clustering of distributional data. CoRR abs/2109.04301 (2021)
2010 – 2019
- 2017
- [j9]Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho:
Fuzzy clustering of distributional data with automatic weighting of variable components. Inf. Sci. 406: 248-268 (2017) - 2016
- [j8]Rosanna Verde, Antonio Irpino, Antonio Balzanella:
Dimension Reduction Techniques for Distributional Symbolic Data. IEEE Trans. Cybern. 46(2): 344-355 (2016) - 2015
- [j7]Antonio Irpino, Rosanna Verde:
Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance. Adv. Data Anal. Classif. 9(1): 81-106 (2015) - [j6]Antonio Irpino, Rosanna Verde:
Basic statistics for distributional symbolic variables: a new metric-based approach. Adv. Data Anal. Classif. 9(2): 143-175 (2015) - [c8]Rosanna Verde, Antonio Balzanella, Antonio Irpino:
Order statistics for histogram data and a box plot visualization tool. Symbolic Data Analysis and Visualization 2015: 29-48 - [c7]Francisco de A. T. de Carvalho, Antonio Irpino, Rosanna Verde:
Fuzzy clustering of distribution-valued data using an adaptive L2 Wasserstein distance. FUZZ-IEEE 2015: 1-8 - 2014
- [j5]Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho:
Dynamic clustering of histogram data based on adaptive squared Wasserstein distances. Expert Syst. Appl. 41(7): 3351-3366 (2014) - 2013
- [j4]Mario Rosario Guarracino, Antonio Irpino, Raimundas Jasinevicius, Rosanna Verde:
Fuzzy regularized generalized eigenvalue classifier with a novel membership function. Inf. Sci. 245: 53-62 (2013) - [c6]Maria Brigida Ferraro, Antonio Irpino, Rosanna Verde, Mario Rosario Guarracino:
A Novel Feature Selection Method for Classification Using a Fuzzy Criterion. LION 2013: 455-467 - [p3]Antonio Irpino, Mario Rosario Guarracino, Rosanna Verde:
Classification of Data Chunks Using Proximal Vector Machines and Singular Value Decomposition. Classification and Data Mining 2013: 55-62 - [p2]Antonio Irpino, Rosanna Verde:
A Metric Based Approach for the Least Square Regression of Multivariate Modal Symbolic Data. Statistical Models for Data Analysis 2013: 161-169 - 2011
- [c5]Rosanna Verde, Antonio Irpino:
Multiple Linear Regression for Histogram Data using Least Squares of Quantile Functions: a Two-components model. HDSDA 2011: 78-93 - [i1]Antonio Irpino, Rosanna Verde, Francisco de A. T. de Carvalho:
Dynamic Clustering of Histogram Data Based on Adaptive Squared Wasserstein Distances. CoRR abs/1110.1462 (2011) - 2010
- [c4]Mario Rosario Guarracino, Antonio Irpino, Rosanna Verde:
Multiclass Generalized Eigenvalue Proximal Support Vector Machines. CISIS 2010: 25-32 - [c3]Rosanna Verde, Antonio Irpino:
Ordinary Least Squares for Histogram Data Based on Wasserstein Distance. COMPSTAT 2010: 581-588
2000 – 2009
- 2008
- [j3]Antonio Irpino, Rosanna Verde:
Dynamic clustering of interval data using a Wasserstein-based distance. Pattern Recognit. Lett. 29(11): 1648-1658 (2008) - 2007
- [c2]Antonio Irpino, Elvira Romano:
Optimal histogram representation of large data sets: Fisher vs piecewise linear approximation. EGC 2007: 99-110 - [c1]Rosanna Verde, Antonio Irpino:
A New Interval Data Distance Based on the Wasserstein Metric. GfKl 2007: 705-712 - 2006
- [j2]Antonio Irpino, Valentino Tontodonato:
Clustering reduced interval data using Hausdorff distance. Comput. Stat. 21(2): 271-288 (2006) - [j1]Antonio Irpino:
"Spaghetti" PCA analysis: An extension of principal components analysis to time dependent interval data. Pattern Recognit. Lett. 27(5): 504-513 (2006) - [p1]Antonio Irpino, Rosanna Verde:
A New Wasserstein Based Distance for the Hierarchical Clustering of Histogram Symbolic Data. Data Science and Classification 2006: 185-192
Coauthor Index
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